Fuzzy Semantic Web Architecture for Activity Detection in Wireless Multimedia Sensor Network Applications

dc.authorscopusid 57218950911
dc.authorscopusid 7005892047
dc.authorscopusid 7004305370
dc.authorwosid Koyuncu, Murat/C-9407-2017
dc.contributor.author Ozdin, Ali Nail
dc.contributor.author Yazici, Adnan
dc.contributor.author Koyuncu, Murat
dc.contributor.other Information Systems Engineering
dc.contributor.other Information Systems Engineering
dc.date.accessioned 2024-10-06T10:58:05Z
dc.date.available 2024-10-06T10:58:05Z
dc.date.issued 2019
dc.department Atılım University en_US
dc.department-temp [Ozdin, Ali Nail] Middle East Tech Univ, Dept Comp Engn, Ankara, Turkey; [Yazici, Adnan] Nazarbayev Univ, Dept Comp Sci, Astana, Kazakhstan; [Koyuncu, Murat] Atilim Univ, Dept Informat Syst Engn, Ankara, Turkey en_US
dc.description Atlantis Press; Becherovka; et al.; MDPI; Research Jobs; Vienna House en_US
dc.description.abstract This study aims to increase the reliability of activity detection in Wireless Multimedia Sensor Networks (WMSNs) by using Semantic Web technologies extended with fuzzy logic. The proposed approach consists of three layers: the sensor layer, the data layer, and the Semantic Web layer. The sensor layer comprises a WMSN comprising sensor nodes with multimedia and scalar sensors. The data layer retrieves and stores data from the sink of WMSN. At the top of the architecture, there is a semantic web layer that includes a semantic web application server, a fuzzy reasoning engine, and a semantic knowledge base. When a new entity is detected at the sensor layer, the associated data produced by the sensors and the sink are collected in the data layer and transmitted to the semantic web application server where the data is converted into subjects, predicates, and objects, according to the ontology conceived and recorded in RDF format. Then, the fuzzy reasoning engine is automatically activated and fuzzy rules are executed to determine if there is an activity in the monitored area. Our implementation confirms that extended semantic Web technologies with fuzzy logic can have a significant impact on the detection of activities in WMSNs. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science
dc.identifier.citationcount 0
dc.identifier.endpage 119 en_US
dc.identifier.isbn 9789462527706
dc.identifier.issn 2589-6644
dc.identifier.scopus 2-s2.0-85090898153
dc.identifier.startpage 112 en_US
dc.identifier.uri https://hdl.handle.net/20.500.14411/8844
dc.identifier.volume 1 en_US
dc.identifier.wos WOS:000558710000018
dc.institutionauthor Koyuncu, Murat
dc.institutionauthor Koyuncu, Murat
dc.language.iso en en_US
dc.publisher Atlantis Press en_US
dc.relation.ispartof 11th Conference of the European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT) -- SEP 09-13, 2019 -- Czech Tech Univ, Prague, CZECH REPUBLIC en_US
dc.relation.ispartofseries Atlantis Studies in Uncertainty Modelling
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Fuzzy logic en_US
dc.subject Semantic Web en_US
dc.subject Activity detection en_US
dc.subject Wireless multimedia sensor networks en_US
dc.title Fuzzy Semantic Web Architecture for Activity Detection in Wireless Multimedia Sensor Network Applications en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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